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Analyze Time & Space Complexity

analyze_time_space_complexity
Read-onlyIdempotent

Analyzes the Big-O time and space complexity of code changes after generating a diff. Automatically infers the programming language.

Instructions

Analyze Big-O complexity. Prerequisite: generate_diff. Auto-infer language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoPrimary language (e.g. TypeScript, Python, JavaScript, Go, Rust, Java). Auto-infer from files.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool completed successfully.
resultNoSuccessful result payload.
errorNoError payload when ok is false.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, destructiveHint, idempotentHint. Description adds valuable behavioral context: prerequisite and auto-infer language, which are not in annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler. Every sentence adds value: purpose and usage context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With output schema present, return info not needed. Covers prerequisite and language handling. Could mention analysis scope (e.g., worst-case) but acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%; description repeats auto-infer language already in schema. No additional meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Analyze Big-O complexity', a specific verb and resource. Distinct from sibling tools like detect_code_smells or analyze_pr_impact.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Mentions prerequisite: generate_diff, giving clear context for when to use. Does not explicitly list alternatives, but the prerequisite guides usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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